Sensitive Data discovery & Classification by Privado provides always-on visibility into your code. It quickly visualizes how data is collected, used, and shared. It easily contextualizes privacy policy compliance with automated data element tagging. It identifies privacy risks and enables remediation with code-level visibility. It automatically classifies and links sensitive data for disclosure reporting, defines policies to govern the use of sensitive data, and generates alerts for remediation when sensitive data processing violates policies. It identifies and prevents data leaks with real-time insight into code changes. It understands data flow during application runtime. It implements detection rules for sensitive data flowing to third parties. It embeds privacy guardrails in development to flag privacy risks and update PIAs. It uses policy as code for automated violation detection and operationalizes remediation with developer workflow integrations. It runs privacy scans on code repositories to detect and categorize personal and sensitive data. It provides companies with real-time data flow diagrams and data usage dashboards. It aligns development processes with privacy by design requirements, enabling engineering teams to quickly find, fix, and prevent risks to privacy and data protection in code before shipping to production. It offers a lightweight code scanning solution that connects with a company's Github account, scans the code, points out privacy gaps, builds reports, and alerts you if non-compliant code is pushed into production. It proactively scans your code to find privacy gaps and helps you build privacy reports easily.
